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Reporting to the Business Intelligence Manager, you'll be part of the Business Performance department.  You'll make sur that identified objectives are achieved while promoting and respecting Agnico Eagle's values, code of conduct concerning health and safety and environment.

The Data Engineer will be part of a multi-disciplinary team whose objective is to generate insight from existing operational and technical data sets, as well as develop tools and use advanced analytics to extract the maximum value from them.

As a Data Engineer, you'll actively contribute at designing and developing data solutions that meet the need of operations and end users.  Those solutions will improve and streamline operational processes, gain insight from large structured and unstructured data sources, and increase profitability of the business.

You'll be collaborating with the other members of the broader Agnico Eagle organization such as Operations, Regional and corporate IT, Subject Matter Experts as well as other disciplines within the company in order to make certain requirements are met, standards are upheld, all testing is performed, and appropriate technical documents are created for the created and implemented solutions.

Specifically, you will:

• Work closely with Data Analysts, Data Engineers, and mining domain experts to understand their data needs and deliver suitable solutions Design optimized data models from various data sources to meet business needs.

• Design, create, and manage datasets and databases to meet the data needs of the organization.

• Develop, construct, test, and maintain data architectures and processing systems.

• Develop and implement processes for data acquisition, ingestion, and extraction from varying data structured, unstructured, time-series sources.

• Build ELT (Extract, Load, Transform) pipelines to facilitate the flow of data from various sources to the data lakehouse or other destinations.

• Provide technical review and feedback to the data analysts and junior data engineers.

• Perform and support data modeling and prepare data for analytics and business intelligence (BI) applications.

• Implement data quality checks and validations to ensure the accuracy and reliability of data.

• Implement data security measures, ensuring compliance with company cybersecurity requirements and best practices.

• Optimize data retrieval and cloud computing resources to support the high-performance data visualization applications to improve system performance and usability.

• Provide technical expertise and support related to data engineering to different teams within the organization.

• Stay updated with the latest industry trends and technologies to improve data engineering processes and systems.

• All other ad hoc duties as requested.

• A Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, or  equivalent Data Engineering training and experience a related field is required.

• 5 years' related work experience.

• Proficiency in languages and software frameworks commonly used in data manipulation and analysis, such as Python, R or Scala is essential.

• Knowledge of SQL and NoSQL databases, and the ability to create and manage large and complex data lakehouse systems.

• Familiarity with data lakehouse solutions and ELT (Extract, Load, Transform) tools within the Microsoft and Azure ecosystem

• Experience with big data processing frameworks like Apache Spark.

• Proficiency in using cloud services such as AWS, Google Cloud, or Microsoft Azure for data processing and storage.

• The ability to design, build, and maintain efficient, scalable, and reliable data pipelines.

• Skills in data modeling and structuring unstructured data for analysis.

• The capacity to solve complex problems, particularly in debugging and improving data systems.

• Ability to work effectively in a team and communicate complex data concepts to non-technical stakeholders.

• Willingness to keep up-to-date with the latest trends and advancements in the field of data engineering.

• Experience with Agile development methodologies (DevOps, Scrum, DataOps)

• Demonstrated knowledge on Data Cloud infrastructure environments available within the Microsoft Azure suite (Synapse, Databricks, Event Hubs and Azure Data Factory).

• Ability to effectively communicate in French and English (oral and written) is preferred.

• Availability and interest in travelling to the Company's project and operational sites.

Your Work Schedule

• Schedule: 40 hours per week, from Monday to Friday.

• Workplace: Possibility to work in one of Agnico Eagle's offices closer to your residence in Rouyn-Noranda, Val-d'Or, Mirabel or Toronto. There is a possibility to have a hybrid work schedule, working some days from an Agnico Eagle office and some days in telecommuting.